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20202025
most citedDeep learning-based surrogate model for 3-D patient-specific computational fluid dynamics

76 citations · 76 across the 3 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.PF2022

MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications

Cheng Xu, Xiaofeng Hou, Jiacheng Liu +9

The explosive growth of various types of big data and advances in AI technologies have catalyzed a new type of workloads called multi-modal DNNs. Multi-modal DNNs are capable of in…

physics.med-ph2022★ 76 cited

Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics

Pan Du, Xiaozhi Zhu, Jian-Xun Wang

Optimization and uncertainty quantification have been playing an increasingly important role in computational hemodynamics. However, existing methods based on principled modeling a…